Sample records for miidel riko noormets

  1. 76 FR 53419 - Procurement List; Proposed Additions

    Federal Register 2010, 2011, 2012, 2013, 2014


    ...., Farmville, VA. Service Type/Location: Grounds Maintenance, Air Force Research Laboratory Stockbridge Test... Activity: Dept. of the Air Force, FA8751 AFRL RIKO, Rome, NY. Patricia Briscoe, Deputy Director,...

  2. 76 FR 65501 - Procurement List Additions

    Federal Register 2010, 2011, 2012, 2013, 2014


    ...: Grounds Maintenance, Air Force Research Laboratory Stockbridge Test Facility, 5251 Burleson Road, Oneida... INFORMATION: Additions On 8/19/2011 (76 FR 51955-51956) and 8/26/2011 (76 FR 53419-53420), the Committee for..., FA8751 AFRL RIKO, Rome, NY. Patricia Briscoe, Deputy Director, Business Operations, Pricing...

  3. Insulin-like growth factor 2 and its enterocyte receptor are not required for adaptation in response to massive small bowel resection

    PubMed Central

    Sun, Raphael C.; Choi, Pamela M.; Guo, Jun; Erwin, Christopher R.; Warner, Brad W.


    Purpose Enhanced structural features of resection-induced intestinal adaptation have been demonstrated following the administration of multiple different growth factors and peptides. Among these, the insulin-like growth factor (IGF) system has been considered to be significant. In this study, we employ mutant mouse strains to directly test the contribution of IGF2 and its enterocyte receptor (IGF1R) toward the adaptation response to massive small bowel resection (SBR). Methods IGF2-knockout (IGF2-KO) (n=8) and intestine specific IGF1R-knockout mice (IGF1R-IKO) (n=9) and their wild type (WT) littermates (n=5, n=7, respectively) underwent 50% proximal SBR. At post-operative day 7, structural adaptation was measured as crypt depth and villus height. Rates of enterocyte proliferation and apoptosis were also recorded. Results The successful deletion of IGF2 and IGF1R expression in the enterocytes was confirmed by RT-PCR and Western blot, respectively. Normal adaptation occurred in both IGF2-KO and IGF1R-IKO mice after 50% SBR. Post-operative rates of proliferation and apoptosis in both IGF2-KO and IGF1R-IKO mice were no different than their respective controls. Conclusion IGF2 and functional IGF1R signaling in enterocytes are both dispensable for resection-induced adaptation responses. The mechanism for IGF-stimulation of intestinal adaptation may involve other ligands or cellular compartments within the intestine. PMID:24888844

  4. Both epidermal growth factor and insulin-like growth factor receptors are dispensable for structural intestinal adaptation

    PubMed Central

    Sun, Raphael C.; Diaz-Miron, Jose L.; Choi, Pamela M.; Sommovilla, Joshua; Guo, Jun; Erwin, Christopher R.; Warner, Brad W.


    Purpose Intestinal adaptation structurally represents increases in crypt depth and villus height in response to small bowel resection (SBR). Previously, we found that neither epidermal growth factor receptor (EGFR) nor insulin-like growth factor 1 receptor (IGF1R) function was individually required for normal adaptation. In this study, we sought to determine the effect of disrupting both EGFR and IGF1R expression on resection-induced adaptation. Methods Intestinal-specific EGFR and IGF1R double knockout mice (EGFR/IGF1R-IKO) (n=6) and wild-type (WT) control mice (n=7) underwent 50% proximal SBR. On postoperative day (POD) 7, structural adaptation was scored by measuring crypt depth and villus height. Rates of crypt cell proliferation, apoptosis, and submucosal capillary density were also compared. Results After 50% SBR, normal adaptation occurred in both WT and EGFR/IGF1R-IKO. Rates of proliferation and apoptosis were no different between the two groups. The angiogenic response was less in the EGFR/IGF1R-IKO compared to WT mice. Conclusion Disrupted expression of EGFR and IGF1R in the intestinal epithelial cells does not affect resection-induced structural adaptation but attenuates angiogenesis after SBR. These findings suggest that villus growth is driven by receptors and pathways that occur outside the epithelial cell component, while angiogenic responses may be influenced by epithelial-endothelial crosstalk. PMID:25818318

  5. EconoMe-Develop - a calculation tool for multi-risk assessment and benefit-cost-analysis

    NASA Astrophysics Data System (ADS)

    Br√ľndl, M.


    Public money is used to finance the protection of human life, material assets and the environment against natural hazards. This limited resource should be used in a way that it achieves the maximum possible effect by minimizing as many risks as possible. Hence, decision-makers are facing the question which mitigation measures should be prioritised. Benefit-Cost-Analysis (BCA) is a recognized method for determining the economic efficiency of investments in mitigation measures. In Switzerland, the Federal Office for the Environment (FOEN) judges the benefit-cost-ratio of mitigation projects on the base of the results of the calculation tool "EconoMe" [1]. The check of the economic efficiency of mitigation projects with an investment of more than 1 million CHF (800,000 EUR) by using "EconoMe" is mandatory since 2008 in Switzerland. Within "EconoMe", most calculation parameters cannot be changed by the user allowing for comparable results. Based on the risk guideline "RIKO" [2] an extended version of the operational version of "EconoMe", called "EconoMe-Develop" was developed. "EconoMe-Develop" is able to deal with various natural hazard processes and thus allows multi-risk assessments, since all restrictions of the operational version of "EconoMe" like e.g. the number of scenarios and expositions, vulnerability, spatial probability of processes and probability of presence of objects, are not existing. Additionally, the influences of uncertainty of calculation factors, like e.g. vulnerability, on the final results can be determined. "EconoMe-Develop" offers import and export of data, e.g. results of GIS-analysis. The possibility for adapting the tool to user specific requirements makes EconoMe-Develop an easy-to-use tool for risk assessment and assessment of economic efficiency of mitigation projects for risk experts. In the paper we will present the most important features of the tool and we will illustrate the application by a practical example.

  6. Gapfilling strategies in difficult situations: long gaps, discontinuities, switch and pulses

    NASA Astrophysics Data System (ADS)

    Trotta, C.; Papale, D.


    , J. H. Gove, M. Heimann, D. Hui, A. J. Jarvis, J. Kattge, A. Noormets, and V. J. Stauch. 2007. Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes. Agricultural and Forest Meteorology 147:209-232.

  7. Sectoral Vulnerabilities to Changing Water Resources: Current and Future Tradeoffs between Supply and Demand in the Conterminous U.S

    NASA Astrophysics Data System (ADS)

    Meldrum, J.; Averyt, K.; Caldwell, P.; Sun, G.; Huber-lee, A. T.; McNulty, S.


    ., Rogers, J., and Tellinghuisen, S. 2011. Freshwater use by US power plants: electricity's thirst for a precious resource. A report of the Energy and Water in a Warming World initiative, Cambridge, MA: Union of Concerned Scientists, 52 pp. Caldwell, P., Sun, G., McNulty, S., Cohen, E., and Moore Myers, J. 2011. Modeling Impacts of Environmental Change on Ecosystem Services across the Conterminous United States, in: Proceedings of the Fourth Interagency Conference on Research in the Watersheds, Fairbanks, AK, 26-30 Sept 2011, 63-69. Kenny, J., Barber, N., Hutson, S., Linsey, K., Lovelace, J., and Maupin, M. 2009. Estimated use of water in the United States in 2005. US Geological Survey Circular 1344, 52 pp. Milly, P. C. D., Dunne, K. A., and Vecchia, A. V. 2005. Global pattern of trends in streamflow and water availability in a changing climate. Nature 438(7066):347-350. Sun, G., McNulty, S., Moore Myers, J., and Cohen, E. 2008. Impacts of multiple stresses on water demand and supply across the Southeastern United States. Journal of American Water Resources Association 44(6):1441-1457. Sun, G., Caldwell, P., Noormets, A., Cohen, E., McNulty, S., Treasure, E., Domec, J., Mu, Q., Xiao, J., John, R., and Chen, J. 2011. Upscaling key ecosystem functions across the Conterminous United States by a water-centric ecosystem model, J. Geophys. Res., 116.

  8. Comparison of publically available Moho depth and crustal thickness grids with newly derived grids by 3D gravity inversion for the High Arctic region.

    NASA Astrophysics Data System (ADS)

    Lebedeva-Ivanova, Nina; Gaina, Carmen; Minakov, Alexander; Kashubin, Sergey


    deep Arctic Ocean: results of a 3D gravity modeling Russian Geology and Geophysics 54, 247-262. Jakobsson M, Mayer L, Coakley B, Dowdeswell JA, Forbes S, Fridman B, Hodnesdal H, Noormets R, Pedersen R, Rebesco M, Schenke HW, Zarayskaya Y, Accettella D, Armstrong A, Anderson RM, Bienhoff P, Camerlenghi A, Church I, Edwards M, Gardner JV, Hall JK, Hell B, Hestvik O, Krist-offersen Y, Marcussen C, Mohammad R, Mosher D, Nghiem SV, Pedrosa MT, Travaglini PG, Weatherall P (2012). The international bathymetric chart of the Arctic Ocean (IBCAO) version 3.0. Geophys Res Lett 39, L12609. Laske, G., Masters., G., Ma, Z. and Pasyanos, M. (2013). Update on CRUST1.0 - A 1-degree Global Model of Earth's Crust, Geophys. Res. Abstracts, 15, Abstract EGU2013-2658, 2013. Minakov A, Faleide JI, Glebovsky VY, Mjelde R (2012) Structure and evolution of the northern Barents-Kara Sea continental margin from integrated analysis of potential fields, bathymetry and sparse seismic data. Geophys J Int 188, 79-102. Petrov O., Smelror M., Shokalsky S., Morozov A., Kashubin S., Grikurov G., Sobolev N., Petrov E., (2013). A new international tectonic map of the Arctic (TeMAr) at 1:5 M scale and geodynamic evolution in the Arctic region. EGU2013-13481. Reguzzoni, M., & Sampietro, D. (2014). GEMMA: An Earth crustal model based on GOCE satellite data. International Journal of Applied Earth Observation and Geoinformation Spasojevic S. & Gurnis M., (2012). Sea level and vertical motion of continents from dynamic earth models since the late Cretaceous. American Association of Petroleum Geologists Bulletin, 96, pp. 2037-2064.